Fashion & apparel case study: plan for ₹20,000 to ₹26,994 monthly revenue in 2 months
01 · Plan
Week by week
Weekly plan
| Week | Phase | Planned ad spend | Projected revenue | Projected ROAS | Projected purchases | Projected cost per purchase |
|---|---|---|---|---|---|---|
| At enquiry, self-reported | – | – | ₹20,000 | – | – | – |
| Week 1 | Learning | ₹2,430 | ₹4,533 | 1.87x | 2 | ₹1,215 |
| Week 2 | Learning | ₹2,536 | ₹4,717 | 1.86x | 3 | ₹845 |
| Week 3 | Learning | ₹2,474 | ₹4,706 | 1.90x | 3 | ₹825 |
| Week 4 | Learning | ₹2,376 | ₹4,659 | 1.96x | 3 | ₹792 |
| Week 5 | Scaling | ₹2,604 | ₹4,950 | 1.90x | 3 | ₹868 |
| Week 6 | Scaling | ₹3,076 | ₹5,866 | 1.91x | 3 | ₹1,025 |
| Week 7 | Scaling | ₹3,512 | ₹6,618 | 1.88x | 4 | ₹878 |
| Week 8 | Scaling | ₹3,788 | ₹7,123 | 1.88x | 4 | ₹947 |
| Week 9 | Scaling | ₹3,790 | ₹7,387 | 1.95x | 4 | ₹948 |
| Total | ₹26,586 | ₹50,559 | 1.90x | 29 | ₹917 |
02 · Funnel
Projected funnel, first view to purchase · the last 4 weeks
- Impressions76,255
- Link clicks1,7142.25% of impressions
- Landing-page views1,22871.65% of link clicks1.61% of impressions
- Added to cart725.86% of landing-page views0.094% of impressions
- Checkout started4562.5% of added to cart0.059% of impressions
- Purchases1533.33% of checkout started0.02% of impressions
0.02% of impressions became purchases
03 · Mix
Where the planned budget goes · the last 4 weeks
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| ₹9,854 | 69.6% | 11 | 1.95x | ₹896 | |
| ₹4,312 | 30.4% | 4 | 1.79x | ₹1,078 |
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Instagram Feed | ₹4,050 | 28.6% | 5 | 2.06x | ₹810 |
| Instagram Reels | ₹3,849 | 27.2% | 4 | 1.95x | ₹962 |
| Facebook Feed | ₹3,059 | 21.6% | 3 | 1.80x | ₹1,020 |
| Instagram Stories | ₹1,955 | 13.8% | 2 | 1.73x | ₹978 |
| Facebook Reels | ₹1,253 | 8.8% | 1 | 1.79x | ₹1,253 |
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Prospecting (cold audiences) | ₹13,034 | 92.0% | 14 | 1.89x | ₹931 |
| Retargeting (warm audiences) | ₹1,132 | 8.0% | 1 | 2.13x | ₹1,132 |
04 · Creatives
Planned creative mix · the last 4 weeks
New ads per month
| Creative type | Tier | Planned ad spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Catalogue (dynamic product ads) | Moderate | ₹2,851 | 3 | 1.96x | ₹950 |
| Video | Moderate | ₹9,009 | 10 | 1.89x | ₹901 |
| Static image | Moderate | ₹2,306 | 2 | 1.89x | ₹1,153 |
05 · How we'd help
How we'd help, why, and how it works
Research & offer · Week 1 to 2
What we'd do
Set up the base for a smaller fashion store before any budget rises. Open with three documents: a website audit, a creative brief and a media plan by month. Before budget rises, close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.
Why
A smaller fashion store in Delhi NCR asked us how to grow monthly revenue in 2 months, from ₹20,000 to ₹1L (5x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan follows the pace of that top tenth rather than forcing the target. The booking gave no single problem, so the plan starts from the numbers. Without a brief, each creative and budget decision starts from scratch. Conversion rate caps what any ad budget can return.
How it works
All three are shared with the brand's team before any budget step. Site fixes are handed over in the first weeks, before budget rises.
Measurement & targets · Week 1 to 9
What we'd do
Log store orders every day beside what the ad platform claims. Set the path from ₹20,000 to ₹1L as written weekly targets, and read every review against the week so far. Raise budget in a week only while return holds; where it would slip too far, hold it.
Why
It did not report a return on ad spend, so the plan starts from what measured fashion stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. Written targets expose a slow week while there is still time to act.
How it works
Every budget call starts from the store's orders. The target for the week is on the page at every review. A week whose return would slip past that point keeps its budget instead.
Creative testing · Week 1 to 4
What we'd do
Lead the testing layer with video, catalogue ads and static image, building to about a dozen new ads a month by the last four weeks, with every format close to the account's return. The four learning weeks run at a low daily budget and moves up only when orders come through. Run every lead product in a campaign of its own, read every week. Run static images next to the video ads.
Why
The first rupees are for finding the buyer, not for volume. Products that do not sell show up inside a week, not after a month of shared budget. Among the fashion accounts we measured, video was the format most often in the top creative tier.
How it works
The low budget stays until orders confirm the buyer. Losing products are paused within a week and budget moves to the winners. Statics join once a winning video is found. More spend buys more new ads, led by video ahead of catalogue ads.
Scaling · Week 5 to 9
What we'd do
Through Week 5 to Week 9, push as far toward ₹1L as return allows: the budget rises gently while return holds, and Instagram Feed carries the most spend and Instagram Reels the next. Recover abandoned checkouts with WhatsApp messages as traffic grows. Scale into the festive and wedding calendar with seasonal collection campaigns.
Why
Across Week 5 to Week 9, the modelled budget rises gently, while return on spend holds. Two of these weeks stop their budget step where return would slip too far. Return holds through these weeks because each budget step stops where return would slip. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.
How it works
WhatsApp recovery runs alongside paid retargeting, not instead of it. Budget moves between regions as the calendar turns. In the last four weeks, Instagram Feed takes the most spend and Instagram Reels the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.
06 · Milestones
Projected milestones by week
- Week 1
Learning starts: a small daily budget carries the first ads, and store orders are matched to tracking. The daily sheet now matches platform revenue to store orders. The website audit, creative brief and media plan are shared.
- Projected revenue ₹4,533
- Projected ROAS 1.87x
- Planned ad spend ₹2,430
- Week 2
The first read of the ads is in, and the ones that do not convert stop. Spend holds, and return holds.
- Projected revenue ₹4,717
- Projected ROAS 1.86x
- Planned ad spend ₹2,536
- Week 3
Store fixes and offers go live while orders confirm.
- Projected revenue ₹4,706
- Projected ROAS 1.90x
- Planned ad spend ₹2,474
- Week 4
By the end of learning, the buyer is known and one ad has won.
- Projected revenue ₹4,659
- Projected ROAS 1.96x
- Planned ad spend ₹2,376
- Week 5
Scaling starts: the seasonal collection campaign leads this period's spend mix. Spend holds, and return holds.
- Projected revenue ₹4,950
- Projected ROAS 1.90x
- Planned ad spend ₹2,604
- Week 6
Products that do not sell are paused and budget moves to the winners. Spend steps up, and return holds.
- Projected revenue ₹5,866
- Projected ROAS 1.91x
- Planned ad spend ₹3,076
- Week 7
Abandoned checkouts get WhatsApp follow-ups.
- Projected revenue ₹6,618
- Projected ROAS 1.88x
- Planned ad spend ₹3,512
- Week 8
Statics go live next to the winning video. Budget is raised only as far as return allows: spend holds, and return holds.
- Projected revenue ₹7,123
- Projected ROAS 1.88x
- Planned ad spend ₹3,788
- Week 9
The seasonal collection campaign leads this period's spend mix. Budget is raised only as far as return allows: spend holds, and return holds. ₹1L is not reached in the time, because the plan follows what the fastest tenth of our measured accounts reached. Cost per purchase ends higher than in the learning phase.
- Projected revenue ₹7,387
- Projected ROAS 1.95x
- Planned ad spend ₹3,790
07 · Learnings
Learnings from Fashion & apparel brands we measured
Expect Instagram Reels to carry the largest share of spend in this industry's measured accounts.
Keep Video as the main format: it carried most creative spend and also reached the top creative tier most often in this industry's measured accounts.
Raise budget only while return on spend holds; cut it when return drops.
Services behind this plan: Performance marketing · Ads video creation · Book a call
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